Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis

The present work proposes an integration of clonal adaptive resonance theory framework (Clonart) with radial basis function (RBF) called ClonalRBF. This framework was already used in a handwritten digit classification problem, a forecasting for the Brazilian energy distribution system and now a time series analysis in gas furnace and Mackey-Glass databases. In Clonart, the population memory was organized using an ART 1 network and in the new approach it was organized using a RBF network. This framework has biologically inspired characteristics like the grouping of similar antibodies and memory antibodies. It was studied to allow the evolution of the artificial immune system. The focus of this study was to evaluate the ClonalRBF and to compare with Clonart using these two databases.